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In a series of modeling experiments, we compare the results of process-based modeling obtained with different model selection criteria.
The main task was to select the optimal network topology and for that, different model selection criteria were explored.
This result is confirmed by the subsets selected by the BIC (excluding –Xp) and AIC (including –6q) model selection criteria.
However, he wrote, "we've identified our model selection criteria is a key issue for us to address, and … it's on our agenda to make a positive effort to be truly representative going forward".
BIC and DBC are consistent model selection criteria while AIC is not.
The empirical comparison of the proposed and existing model selection criteria is done using simulation study.
The BIC is a model selection criteria that helps to maximize the model performance.
This was performed for all subjects and for each model selection criteria and tracer.
Equations below show the implementation of the various model selection criteria.
It is therefore necessary to establish model selection criteria, which are reviewed in the following section.
For all radiotracers, strong agreement was seen across the model selection criteria.
More suggestions(15)
models selection criteria
model evaluation criteria
model success criteria
model selection decisions
model fit criteria
model validation criteria
model discrimination criteria
model selection results
model selection approaches
model selection tests
model acceptance criteria
model suitability criteria
model selection tools
model convergence criteria
model design criteria
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